Introduction

This page contains links to overview information (including references to the literature) on the different types of learning schemes and tools included in Weka.

• Classifiers (covers supervised classification and regression)
• Clusterers (unsupervised learning)
• Associations
• Attribute Selection (evaluators and search methods)
• Preprocessing Filters (supervised and unsupervised data preprocessing)
• Information for packages that can be downloaded and installed via the package management system in Weka >= 3.7.2 can be found http://weka.sourceforge.net/packageMetaData/